There are a lot of papers on this topic.
SAS administrators–what’s on your bookshelf? - SAS Users
http://blogs.sas.com/content/sgf/2014/08/13/sas-administrators-please-submit-your-paper-idea-for-sas...
One grid to rule them all – tuning your environment for SAS Enterprise Guide - SAS Users
Some for dedicated hardware
https://support.sas.com/rnd/scalability/grid/SASGridManagerBuildingBlocks.pdf
https://support.sas.com/rnd/scalability/grid/Shared_FileSystem_GRID.pdf
You can find als some as a SAAS approach.
Suppose you would possess a Physical server server that is capable to do the workload. You can buy commercial machines with 64 processors and 1Tb internal memory and many terabytes of external storage including SSD's. You can tune this hardware for the more demanding analytics processes. Suppose that machine is far enough for your requirements.
Question: would is make any sense to define 32 virtual machines on this hardware so you can all your load in a grid process. Adding ca 10% overhead for your virtualization than adding the complexity for your grid and needed shared filesystems for that. Ending up with far from optimal resource usage because every users want all of his resources being reserved.for him?
The virtualization dogma is based on the assumption that many users are just running low demanding jobs on weekly monthly way. You could optimize the hardware by sharing the hardware using virtualization of the OS. This assumption is not a fit with high demanding bi & analytics. The user are bypassing IT staff .by accepting appliances (external supplier is managing running your business). The result of that is missing compliancy to eg regulation requirements. Your into a political discussion mainly not a technical one.
---->-- ja karman --<-----
